Generate SEO-compliant product descriptions using product titles and meta-keywords provided by the user. Implemented custom LLMChain function from the Langchain and few-shot prompting technique to generate multi-paragraph rich text product description for each product name and its corresponding keywords. Built a gradio app as a frontend demo to showcase the process.
This project is hosted on HuggingFace Spaces: Live Demo of Product Description Generator.
- Provide the product name and keywords separated by commas
- Using the custom prompt template and ChatOpenAI model, call the custom LLM chain to generate a product description
To run this app locally, first clone this repo using git clone
.
Now, install all libraries by running the following command in the terminal:
pip install -r requirements.txt
Now, run the app from the terminal:
gradio app.py
If you like this project, please ⭐ this repository 😊